Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We use a dynastic model of household behavior to estimate and decompose the correlations in earnings across generations. The estimated model can explain 75% to 80% of the observed correlation in lifetime earnings between fathers and sons, mothers and daughters, and families across generations. We find that human-capital accumulation in the labor market, the nonlinear return to part-versus full-time work, and the return to parental time investment in children are the main forces driving the intergenerational correlation in earnings. The primary mechanism through which these three sources affect the intergenerational correlation in earnings is their effects on fertility and the division of labor within the household. Assortative mating magnifies these forces.